Company:

Jeppesen is seeking an experienced Data Scientist to join our team, reporting to the Data Science Manager. The position will be fully remote.

The Data Scientist will apply machine learning, statistical, and other analytics techniques to the unique challenges of aviation and aerospace. You will help develop and perfect new capabilities into our applications and pipelines. You will work closely with our customers, developing understanding of their problems, priorities and business needs. You will bring your data science specialty to cross-functional project teams to help launch and maintain leading-edge operational solutions around the world.

The position will be operating within Boeing’s greater Data Science & Analytics team. Depending on need and fit, this role will support one or more digital aviation services in flight operations, airline operations and business consulting.

Boeing houses an eclectic group of passionate data scientists who help customers by making sense out of big, complex systems in the world of aviation. We combine deep scientific thinking, mathematical prowess and analytics technology with creativity and detective work to uncover rare insights hidden within the data. We harness practical knowledge of engineering, business, and aviation to build customer solutions. Together, we deliver the power of understanding to change the world above and on the ground.

Position Responsibilities:

• Determines, defines and deploys predictive/prescriptive analytic solutions to meet business objectives
• Chooses best fit methods, defines algorithms, validates and deploys models to achieve business results
• Performs necessary data preparation and enhancements to models

Basic Qualifications (Required Skills/Experience):           

• 1+ years’ experience in Data Science
• Must be proficient in Python (special emphasis on Pandas, sklearn, tensorflow) and SQL
• Must have experience in formal collaborative development environment and version control (e.g., Gitlab)

Preferred Qualifications (Desired Skills/Experience):

• Domain knowledge in the aviation & aerospace industry is an asset
• Expertise in one of the following enabling technologies:
  • Cloud technologies (e.g., Azure, Google Cloud, AWS)
  • Large-scale data analysis technologies (e.g., Hadoop, Spark, Cassandra, Pig, Hive)
• Project management knowledge (PMBOK, Agile, Kanban) is an asset
• Experience in production-quality data and modeling pipeline development
• Experience in production-quality analytics services deployment
• Expertise in prognostics, anomaly detection, or predictive maintenance applications is an asset
• Expertise in applied Natural Language Processing is an asset

Drug Free Workplace:

Boeing is a Drug Free Workplace where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies.

Pay & Benefits:

At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent.  Elements of the Total Rewards package include competitive base pay and variable compensation opportunities. 

The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work. 

The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements.

Pay is based upon candidate experience and qualifications, as well as market and business considerations. 

Summary Pay Range: $96,900.00-$131,100.00

Language Requirements:

Education:

Relocation:

Export Control Requirement:

Safety Sensitive:

Security Clearance:

Visa Sponsorship:

Contingent Upon Award Program

Shift:

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Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.

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